Tuesday, November 16, 2010

Stat 21 Course Syllabus


COURSE SYLLABUS

Course No.          :   STAT 21
Course Title        :   PROBABILITY AND STATISTICS
Course Description :   Basic principles of statistics; presentation and analysis of data; averages, median, mode; deviations; probability distributions; normal curves and applications; regression analysis and correlation; application to engineering problems.
Credit                   :   3 units
Prerequisite        :   College Algebra

Course Objectives:     After completing this course, the student must be able to:
1. Define relevant statistical terms;
2. Discuss competently the following concepts:
2.1. Frequency distribution
2.2. Measures of central tendency
2.3. Probability distribution
2.4. Normal distribution
2.5. Inferential statistics
3. Apply accurately statistical knowledge in solving specific engineering problem situations.

Course Outline:

1. Introduction                                                                                          3 hours
1.1. Course Orientation
1.2. Discussion of the Mission, Goals and Objectives of the COE
1.3. History of Statistics
1.4. Nature and Importance of Statistics
1.5. Definition of Statistical Terms
2. Steps in Conducting a Statistical Inquiry                                           2 hours
2.1. Gathering of Data
2.2. Presentation of Data
2.3. Analysis of Data
2.4. Interpretation of Data
3. Presentation of Data                                                                           2 hours
3.1. Textual
3.2. Tabular
3.3. Graphical
4. Sampling Techniques                                                                          2 hours
4.1. Random Sampling Techniques
4.2. Systematic Sampling
4.3. Stratified Random Sampling
4.4. Cluster Sampling
5. Measures of Central Tendency                                                          5 hours
5.1. Mean
5.2. Median
5.3. Mode
5.4. Skewness and Kurtosis

6. Measures of Variation                                                                         5 hours
6.1. Range
6.2. Mean Absolute Deviation
6.3. Variance
6.4. Standard Deviation
6.5. Coefficient of Variation
7. Probability Distributions                                                                     15 hours
7.1. Counting Techniques
7.2. Probability
7.3. Mathematical Expectations
7.4. Normal Distributions
8. Inferential Statistics                                                                               7 hours
8.1. Test of Hypothesis
8.2. Test Concerning Means, Variation, and Proportion
8.3. Contingency Tables
8.4. Test of Independence
8.5. Goodness-of-Fit Test
9. Analysis of Variance                                                                               5 hours
10. Regression and Correlation                                                                 5 hours

Textbook:
Walpole, Ronald E., et. al. Probability and Statistics for Engineers and Scientists, 1989
Pacho, Elsie M.,  et. al. Fundamental Statistics, 2003
           

Teaching Methodology/Strategy
  1. Lecture/Discussion       3. Board Work        5. Quizzes/Term Exam
  2. Visual Aid                      4. Assignments/ seat works

Grading System:

Computation of the Final Grade:
Term Grade (MTG/FTG)      = 40% (Assignments + Seat works + Quizzes) + 60% Term Exam
Final Grade (FG)                  = 1/3 Midterm Grade + 2/3 Final Term Exam

Raw/Equivalent Score and Grade Distribution

Grade       Raw/Equivalent Score              Grade             Raw/Equivalent Score
  1.0                      97 – 100                           2.25                          68 – 73
  1.25                    92 – 96                             2.5                             62 – 67
  1.50                    86 – 91                             2.75                          56 – 61
  1.75                    80 – 85                             3.0                             50 – 55
  2.0                      74 – 79                             5.0                               0 – 49
Percentage Passing            = 50% (NO REMOVAL EXAM)

                                                                                   
                                                                                          Prepared by:

                                                                                          Ariel E. Abay, REE
                                                                                                  Instructor I